Special Session: Sampling Theory, Reliability and Bayesian Inference

CALL FOR PAPERS

Special Session on

Recent Advances in Sampling Theory, Reliability and Bayesian Inference

Under the International Conference on Mathematical Sciences and Computational Intelligence  (ICMSCI-2026)

February 20–22, 2026

The Department of Mathematics, P.G.D.A.V. College, University of Delhi, in collaboration with Faculty of Mathematical Sciences, University of Delhi, IIT Mandi and NIT Uttarakhand, cordially invites researchers, academicians, scientists, industry experts, and research scholars to submit their original and unpublished research papers for a Special Session on “Recent Advances in Sampling Theory, Reliability Theory and Bayesian Inference” under the International Conference on Mathematical Sciences and Computational Intelligence (ICMSCI-2026).

This special session aims to provide an interactive and inclusive platform for researchers, academicians, and industry professionals to present and exchange innovative ideas, recent theoretical developments, and emerging methodological trends in the domains of sampling theory, reliability analysis, and Bayesian statistical inference. The session particularly encourages contributions that bridge theory and practice and demonstrate applications of these methodologies in diverse and interdisciplinary fields, including but not limited to science and engineering, economics and finance, healthcare and biomedical research, environmental and climate studies, artificial intelligence, machine learning, business analytics, and data science. The objective is to foster meaningful discussion, promote collaborative research, and highlight new directions that can contribute to both academic advancement and real-world problem solving.

Topics of Interest

Sampling Theory and Survey Methodology

• Estimation procedures in finite population sampling

• Ratio, product, and regression-type estimators

• Calibration and model-assisted sampling

• Ranked set sampling, adaptive sampling

• Non-response, missing data, measurement errors

• Small area estimation, big-data sampling

Reliability Theory and Survival Analysis

• Reliability modelling for systems and components

• Censoring schemes, stress–strength models

• Coherent systems and network reliability

• Lifetime distributions and properties

• Degradation and accelerated life testing

• Survival analysis and hazard rate modelling

Bayesian Inference and Decision Theory

• Bayesian estimation and testing

• Prior selection, posterior analysis

• Hierarchical and empirical Bayes methods

• Computational Bayes: MCMC, Gibbs sampling

• Bayesian learning, regression, classification

• Probabilistic graphical models and decision theory

Submission Guidelines

• Manuscript must follow the conference template.All submissions will undergo peer review.

• Maximum length: 9–16 pages including references.

• Accepted papers will be presented and included in the proceedings/special issue (details to follow).

Presentation Mode

Hybrid (Offline + Online). Selected papers will be presented through oral or poster sessions.

Important Dates

• Last date for submission: January 15, 2026

• Acceptance notification: January 20, 2026

• Camera-ready paper: February 10, 2026

Who Should Submit?

Faculty members, researchers, post-doctoral fellows, PhD scholars, postgraduate students, statisticians,

engineers, data scientists, and industry professionals.

Submission Email : Authors must submit their abstracts/papers directly to prayas.stats@bbau.ac.in with "cc" to conference email: icmsci_2026@pgdav.du.ac.in.